Water Balance Metrics (Wahba, G., 1990: Spline...
URL: http://doi.org/10.4236/eng.2011.312145
Each annual file contains 21 metrics developed by the CANUE Weather and Climate Team, and calculated by CANUE staff using base data provided by the Canadian Forest Service of Natural Resources Canada.The base data consist of interpolated daily maximum temperature, minimum temperature and total precipitation for all unique DMTI Spatial Inc. postal code locations in use at any time between 1983 and 2015. These were generated using thin-plate smoothing splines, as implemented in the ANUSPLIN climate modeling software. The earliest applications of thin-plate smoothing splines were described by Wahba and Wendelberger (1980) and Hutchinson and Bischof (1983), but the methodology has been further developed into an operational climate mapping tool at the ANU over the last 20 years. ANUSPLIN has become one of the leading technologies in the development of climate models and maps, and has been applied in North America and many regions around the world. ANUSPLIN is essentially a multidimensional “nonparametric” surface fitting method that has been found particularly well suited to the interpolation of various climate parameters, including daily maximum and minimum temperature, precipitation, and solar radiation.The water balance model was developed by Pei-Ling Wang and Dr. Johannes Feddema at the University of Victoria, Geography Department, and implemented by CANUE staff Mahdi Shooshtari. (THESE DATA ARE ALSO AVAILABLE AS MONTHLY METRICS).
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Additional Information
| Field | Value |
|---|---|
| Data last updated | September 18, 2023 |
| Metadata last updated | October 9, 2023 |
| Created | September 18, 2023 |
| Format | |
| License | License not specified |
| Has views | False |
| Id | 0418382e-4537-4704-99f1-133782bd505e |
| Package id | 498325f0-af15-4dc9-850b-fdc489dff097 |
| Position | 0 |
| State | active |